PRE AND POST CHINESE NEW YEAR HOLIDAY EFFECTS: EVIDENCE FROM HONG KONG STOCK MARKET

Author:

CHIA RICKY CHEE JIUN1,LIM SHIOK YE1,ONG PUI KHUAN1,TEH SIEW FONG1

Affiliation:

1. Labuan Faculty of International Finance, Universiti Malaysia Sabah, Malaysia

Abstract

This paper investigated the existence of pre-Chinese New Year (CNY) and post-CNY holiday effect in the Hong Kong stock market for the period covering January 1988 to July 2012. The generalized autoregressive conditional heteroscedasticity (GARCH)-M model is adopted to examine the average returns and associated with symmetrical behavior. Then, asymmetric effect will be identified by using the Threshold GARCH-M (TGARCH-M) and Exponential GARCH-M (EGARCH-M) models. Results obtained indicate the significant two days pre-CNY and one day post-CNY holiday effects. Results also showed that post-CNY is found to be more volatile than the pre-CNY. Besides, the study found evidence of asymmetrical market reactions towards positive and negative news. The CNY holiday effects can be explained with the arguments drawn from behavioral finance, where the Chinese superstition and tradition cultures can alter investors' attitudes toward risk and affect investors' decision making in stock trading.

Publisher

World Scientific Pub Co Pte Lt

Subject

Economics and Econometrics

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Empirical Analysis of Holiday Effect on Chinese Baijiu Stocks;Proceedings of the 2022 2nd International Conference on Financial Management and Economic Transition (FMET 2022);2022-12-14

2. Stock Trading Strategies Based on Deep Reinforcement Learning;Scientific Programming;2022-03-01

3. A Deep Reinforcement Learning-Based Decision Support System for Automated Stock Market Trading;IEEE Access;2022

4. A Q-learning agent for automated trading in equity stock markets;Expert Systems with Applications;2021-01

5. Spillover effects in the financial year cycle for Indian markets;Asian Journal of Accounting Research;2020-09-25

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3